Automate any UI task with natural language. Backed by General Catalyst and Y Combinator.
About the role
• Designing planning and reasoning architectures for long-horizon computer-use agents • Training multimodal models that understand UI layouts, screenshots, and DOM structures
What they're looking for
- • Moves quickly from idea → experiment → deployment
- • Has built real AI agent orchestration systems
- • Is excited about agentic AI, reasoning systems, experimentation or automation
- • Thrives in a fast-moving early-stage startup environment
- You’ll work directly with the founders to push the frontier of computer-use agents and help define a new category of AI-native enterprise automation
More about this role
RamAIn builds the world's fastest computer-use agents for enterprise work. We're a YC W26 company on a mission to eliminate repetitive, manual workflows by training AI agents that operate legacy systems, desktop apps, and web portals the same way humans do - but 10× faster and more reliably.
RamAIn was founded by Shourya Vir Jain (CEO) and Vansh Ramani (CTO), who met at IIT Delhi and dropped out to build AI-native automation for enterprise workflows.
Shourya previously worked at McKinsey, where he saw firsthand how much enterprise work still depends on manual interaction with legacy systems. He is also a FIDE-rated chess player (2118), was ranked top-20 globally under 16, having previously built and scaled an enterprise AI company to over 6-figures in ARR.
Vansh is an AI researcher who worked at CMU on scalable machine learning and representation learning. His research includes publications at ICLR and ACS, and “Panaroma,” one of the fastest vector search algorithms, later merged into Meta’s FAISS. He focuses on building high-performance reasoning and planning systems for real-world deployment.
Together, they started RamAIn to build the fastest computer-use agents for enterprise...
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